An End-to-End Learning Framework for Video Compression

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 43; no. 10; pp. 3292 - 3308
• Main Authors: Lu, Guo, Zhang, Xiaoyun, Ouyang, Wanli, Chen, Li, Gao, Zhiyong, Xu, Dong
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive optics; Coders; Coding; end-to-end optimization; Estimation; Image coding; image compression; Motion estimation; neural network; Neural networks; Optical distortion; Optical flow (image analysis); Optical imaging; Video compression

Traditional video compression approaches build upon the hybrid coding framework with motion-compensated prediction and residual transform coding. In this paper, we propose the first end-to-end deep video compression framework to take advantage of both the classical compression architecture and the p...